Human Performance, Netherlands Organisation for Applied Scientific Research (TNO), 3769 DE Soesterberg, The Netherlands.
Human Media Interaction, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, 7522 NB Enschede, The Netherlands.
Sensors (Basel). 2023 Mar 10;23(6):3006. doi: 10.3390/s23063006.
Individuals that pay attention to narrative stimuli show synchronized heart rate (HR) and electrodermal activity (EDA) responses. The degree to which this physiological synchrony occurs is related to attentional engagement. Factors that can influence attention, such as instructions, salience of the narrative stimulus and characteristics of the individual, affect physiological synchrony. The demonstrability of synchrony depends on the amount of data used in the analysis. We investigated how demonstrability of physiological synchrony varies with varying group size and stimulus duration. Thirty participants watched six 10 min movie clips while their HR and EDA were monitored using wearable sensors (Movisens EdaMove 4 and Wahoo Tickr, respectively). We calculated inter-subject correlations as a measure of synchrony. Group size and stimulus duration were varied by using data from subsets of the participants and movie clips in the analysis. We found that for HR, higher synchrony correlated significantly with the number of answers correct for questions about the movie, confirming that physiological synchrony is associated with attention. For both HR and EDA, with increasing amounts of data used, the percentage of participants with significant synchrony increased. Importantly, we found that it did not matter how the amount of data was increased. Increasing the group size or increasing the stimulus duration led to the same results. Initial comparisons with results from other studies suggest that our results do not only apply to our specific set of stimuli and participants. All in all, the current work can act as a guideline for future research, indicating the amount of data minimally needed for robust analysis of synchrony based on inter-subject correlations.
关注叙事刺激的个体表现出同步的心率(HR)和皮肤电活动(EDA)反应。这种生理同步发生的程度与注意力的参与程度有关。影响注意力的因素,如指令、叙事刺激的显著性和个体特征,会影响生理同步。同步的可证明性取决于分析中使用的数据量。我们研究了生理同步的可证明性如何随群体大小和刺激持续时间的变化而变化。三十名参与者观看了六个 10 分钟的电影片段,同时使用可穿戴传感器(分别为 Movisens EdaMove 4 和 Wahoo Tickr)监测他们的 HR 和 EDA。我们计算了作为同步度量的受试者间相关性。通过在分析中使用参与者子集和电影片段的数据来改变群体大小和刺激持续时间。我们发现,对于 HR,与电影相关问题的正确答案数量越高,同步性越高,这证实了生理同步与注意力有关。对于 HR 和 EDA,随着使用的数据量的增加,具有显著同步性的参与者比例增加。重要的是,我们发现增加数据量的方式并不重要。增加群体大小或增加刺激持续时间会产生相同的结果。与其他研究的初步比较表明,我们的结果不仅适用于我们特定的刺激和参与者集。总的来说,目前的工作可以作为未来研究的指南,表明基于受试者间相关性分析同步性所需的最小数据量。